We used the same text encoder as CLIP [1]} and ViT-B/32 [2]} as the visual encoder in the OC model.
All the models were trained using the AdamW optimizer [3]}, where the learning rate was set to 8e-5 for the OC model and 5e-5 for the QG model.
We trained the OC model for 200 epochs and the QG model for 50 epochs with 8\(\times \) Tesla A100 GPUs.
